At a Glance
- Tasks: Design and maintain data architecture, transforming raw data into valuable insights.
- Company: Join Leonardo, a leader in innovative technology solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make a real impact by optimising data processes in a dynamic environment.
- Qualifications: Strong problem-solving skills and familiarity with programming languages required.
The predicted salary is between 63000 - 77000 £ per year.
hackajob is partnering directly with Leonardo to hire for this role.
Job
Description: Your Impact As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data.
You will own the Data Ops infrastructure, ensuring the performance, reliability, and scalability of data ingestion and processing pipelines to support evolving business and operational demands.
To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources.
Data engineer skills also include familiarity with several programming languages.
What you'll do Orchestrate the ingestion, processing, and storage of raw data within structured and unstructured data repositories.
Design, Develop, Deploy and Support data infrastructure, pipelines and architecture.
Implement reliable, scalable, and tested solutions to automate data ingestion.
Development of systems to manage batch processing and real-time streaming of data.
Evaluate business needs and objectives.
Support implementation of data governance requirements.
Facilitate pipelines, which prepare data for prescriptive and predictive modelling.
Working with domain teams to scale the processing of data.
Identify opportunities for...
Systems Engineer - Data Engineering in Edinburgh employer: Hackajob
Leonardo is an exceptional employer that fosters a collaborative and innovative work culture, particularly for Systems Engineers in Data Engineering. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and cutting-edge projects that challenge your skills. Located in a dynamic environment, Leonardo offers competitive benefits and a commitment to work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Systems Engineer - Data Engineering in Edinburgh
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Hackajob.
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We think you need these skills to ace Systems Engineer - Data Engineering in Edinburgh
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Hackajob, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Hackajob. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Hackajob
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Hackajob!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
